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Mahendra, Rifqi Gusnar
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Computer Science & IT

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Penerapan Metode Analytical Hierarchy Process dan Additive Ratio Assessment Dalam Menentukan Target Promosi Universitas Mahendra, Rifqi Gusnar; Trenady, Revangga Alif; Pungkasanti, Prind Triajeng
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5469

Abstract

The Semarang University New Student Admissions (PMB) Department has set a target for the number of new students every year of 4,500 students. To meet this target, the PMB section carries out promotions to several high schools and vocational high schools, however, the PMB section has not yet chosen the school promotion site. apply decision support methods with certain methods that can help select schools for university promotion. This research applies a decision support method with the Analytical Hierarchy Process (AHP) to calculate the weight of each criterion and will continue with ranking calculations using the Additive Ratio Assessment (ARAS) method. The results of applying the AHP method for weighting criteria are: number of school alumni students with a weight of 0.36; the number of active school students was 0.26; the distance between school and university is 0.12; and school-university collaboration of 0.26. From the ARAS ranking method, it was found that SMKN 8 Semarang had the highest score of 0.911; in second place at SMKN 4 Semarang with a score of 0.864; and in third place at SMA Institut Indonesia with a score of 0.823. The aim of this research is to provide better alternative decisions so that it can help the Semarang University PMB section in deciding school promotion targets.
Penerapan Metode Entropy Dan Metode EDAS Dalam Penerimaan Karyawan Baru Sebagai Pendukung Keputusan Trenady, Revangga Alif; Mahendra, Rifqi Gusnar; Pungkasanti, Prind Triajeng
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5473

Abstract

Selection of new employees is an important thing in a company, because of the variety of criteria that applicants have, so the right method is needed to determine the desired employees. So far, decisions have been made only from a Human Resource Development (HRD) perspective, which sometimes does not match the criteria expected by the company. Therefore, a system is needed to determine the results of new employee selection so that employees are found who meet the criteria expected by the company. This research applies the Entropy and Evaluation methods based on Distance from Average Solution (EDAS) as a decision support system. This research aims to assist companies in making decisions regarding the selection of new employees. The Entropy method is used to determine the weight of each selection criterion, while the EDAS method is applied to evaluate prospective employees. This research was conducted at a spring bed manufacturing company in Semarang by analyzing applicant data which included various criteria such as education, work experience, technical skills, test scores and expected salary. The applicant data sample taken from the company was 15 applicants. From the weighting calculations using the Entropy method and the EDAS method, the result was that Yulius Bagus Caesar had the highest suitability value, namely 1. The research results showed that the combination of Entropy weighting and the EDAS method could simplify the employee selection process based on the expected criteria. Thus, using a combination of Entropy weighting and the EDAS method can be a solution for companies to facilitate the selection of new employees
Co-Authors Prind Triajeng Pungkasanti, Prind Triajeng Trenady, Revangga Alif